As an Analyst II at Merrick Bank, you will support growth and profitability in the credit card P&L through innovation in product, pricing, and credit policy. You will work with teams across Risk, Finance, and Legal/Compliance to drive top line revenue growth, account acquisition growth, and strong bottom line performance. As Merrick Bank sets its sights on ambitious growth targets, you will be a key contributor in the credit card business, helping shape both the strategy and profitability of the business in 2024 and beyond. Essential Functions:Develops and implements analytical frameworks to monitor and evaluate account acquisition programs performance.Develops subject matter expertise in account acquisition strategy and P&L valuation. Identify optimization opportunities, design tests and make strategic recommendations for future improvement.Owns existing reporting, analysis and dashboard, and creates new reporting as necessary.Collaborates with key stakeholders across multiple organizations and departments to develop and maintain a rigorous test, learn and growth mechanisms.Presents results of analysis and proposals for improvements to strategies to senior management.Compliance with Laws & Regulations: Responsible for complying with all of the Bank’s internal control policies and procedures.Responsible for understanding and complying with all laws and regulations to which the Bank is subject.Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, violations, or illegal acts. Education and Experience:Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline with three (3) years analytics experience is required; or Masters’ Degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline with one (1) of analytics experience is required. Summary of Qualifications:Comfortable leveraging data analysis tools and working hands-on with large analytical datasets to deliver insightsRequires a firm background and experience in data analytics, machine learning, and advanced programming (such as Python, R, or SAS/SQL)Additional required skills and experience: organizational skills, effective communication/presentation skills (both verbal and written), and problem solving skillsDemonstrated ability to learn rapidly and solve problems dynamically